1. Learn
about Discrete Event Systems (DES) as well as Hybrid Systems (HS)
that combine both continuous (time-driven) and discrete (event-driven) dynamics
and about their applications in many different domains (multi-agent systems, Cyber-Physical Systems, communication and
sensor networks, manufacturing, transportation, etc).

2. Learn about data-driven methodologies
for the control and optimization of these systems, capitalizing on the
proliferation of “big data” availability.

3. Develop the ability to
conceptualize cutting-edge issues in the DES and HS domain, and formulate problems
for potential research purposes.